How to evaluate AI agents: learning thread adds a dedicated evaluation resource
_jaydeepkarale · x · 2026-09-22
In his AI agent learning thread, jaydeepkarale adds a key piece: how to evaluate AI agents, with a dedicated explainer video.
It completes a path covering LLM fundamentals, agent concepts, hands-on building, and finally evaluation — knowing whether an agent actually works well.
Related event: Curated AI Agent Learning Path Features Anthropic Masterclass(4 posts)→
More from coding & agent
- JEVfire open-sourced: Qwen 0.8B clears Super Mario in-browser at 71ms per action — ricklamers · 2026-09-22
- Founder seeks cheaper LLM than Terra for scraping store deals, weighing Gemini and DeepSeek — ActionHungry · 2026-09-22
- simd author: AI made six mature libraries much faster in one summer — lemire · 2026-09-22
- Google open-sources ax, an agentic orchestration runtime in Go, gaining 2,300+ stars in a day — google · 2026-09-22
- treg, an 'OpenRouter for agent tools' unifying MCP credentials, trends on GitHub — superdesigndev · 2026-09-22
- Univer pitches itself as the Office harness for AI agents, at 15k GitHub stars — dream-num · 2026-09-22